Data Analyst
Current• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.• Improved decision-making processes with accurate data analysis and visualization techniques.• Participated in requirements meetings to understand business needs.• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.• Identified, analyzed and interpreted trends or patterns in complex data sets.• Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.• Managed large-scale databases to ensure timely access to critical information for key stakeholders.• Updated and developed scripts and queries to extract and analyze data from multiple sources.• Used database to research, gather, analyze and present data.• Organized information by studying, analyzing, interpreting and classifying data.• Introduced time-saving techniques like keyboard shortcuts and custom macros for increased efficiency in daily tasks.• Enhanced Excel proficiency by providing tailored mentoring sessions for individuals and groups.• Used SQL Agent to schedule and monitor SQL jobs.• Leveraged advanced features of SQL.• Managed SQL queries and data transport.• Increased productivity by automating repetitive tasks using Python scripting.• Developed tools like PDPM CMI (Patient-driven payment model case mix index) trackers, and QIPP trackers (Quality Incentive Payment Program) for states of Texas and California by partnering with key stakeholders.• Assist Cost reporting team by enhancing and streamlining various Excel models.• Assisting Presidents and CFO on ad-hoc basis.